2011年1月27日星期四

Does anyone else feel the need to hold onto their physical media

Is it unreasonable to want to collect them?Am I a hoarder now?Does anyone else feel the need to hold onto their physical media?I don't have this issue with music, however. All my music is digitally stored, so there's no telling how many thousands of songs I have (I'm guessing around 30,000) .In retrospect I feel that 60-70 games replica Omega 2504.30.00 Men's Watch isn't too many, however I have been told its excessive.Does anyone else feel the same way about games only?About Speak-Up on Kotaku: Our readers have a lot to say, and sometimes what they have to say has nothing to do with the stories we run. That's why we have that little box on the front page of Kotaku.

You know, the one with “Got something to say?” written in it? That's the place to post anecdotes, photos, game tips and hints, and anything you want to share with Kotaku at large. Just make sure to include speakup in your comment so we can find it. Every weekday we'll pull one of the best speakup posts we can find and highlight it here.[image]”One of the core functions of a computer processor is to perform the basic arithmetical replica Omega 2503.50 Men's Watch functions of the system. Why would we want a processor that gets those basic calculations wrong? Carnegie Mellon's Joseph Bates has the answer.Your standard computer processor is on the larger side and consumes a fair amount of power, but it gets the job done as far as math is concerned, crunching numbers with pinpoint accuracy.

But not all computations a computer performs need pinpoint accuracy, a fact that Bates, an adjunct professor of computer science at Carnegie Mellon University, took advantage of in designing a processor that can perform tens of thousands of calculations simultaneously using sloppy arithmetic.A meeting with MIT Media Lab researcher replica Omega 2504.75 Men's Watch Deb Roy helped Brown come up with one potential use for this highly powerful, slightly erroneous processor: Video processing. The pair knew that algorithms used to process visual data were more failure-prone than others, with a 50 percent success rate considered on the good side. Tweaking the margin for error by a percentage or so shouldn't make much difference in the process.

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